Shapiro et al. [2005; 2006], presented a framework for representing goal change in the situation calculus. In that framework, agents adopt a goal when requested to do so (by some ...
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
Symbolic representations have been used successfully in off-line planning algorithms for Markov decision processes. We show that they can also improve the performance of online p...
PACMAN (Passive and Active Compensability Multicriteria ANalysis) is a multiple criteria methodology based on a decision maker oriented notion of compensation, called compensabili...
The final product of an analyst`s investigation using a visualization is often a report of the discovered knowledge, as well as the methods employed and reasoning behind the disco...